ArticleImplementation science : IS2018
Empirical and conceptual investigation of de-implementation of low-value care from professional and health care system perspectives: a study protocol.
Article in Implementation science : IS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- De-implementation of low-value care: contrasting theories, models, and frameworks to generate methodological guidance.Implementation science communications · 2026Article
- Comparative effectiveness of non-reflective and reflective strategies to favor de-implementation of low-value prescribing for the primary prevention of cardiovascular disease in primary care: the DE-imFAR cluster randomized implementation trial.Implementation science communications · 2026Article
- Organizational influences on the use of low-value care in primary health care - a qualitative interview study with physicians in Sweden.Scandinavian journal of primary health care · 2022Article
- Development of the SPREAD framework to support the scaling of de-implementation strategies: a mixed-methods study.BMJ open · 2022Review
- Strategies for de-implementation of low-value care-a scoping review.Implementation science : IS · 2022Article
- A qualitative interview study of Australian physicians on defensive practice and low value care: "it's easier to talk about our fear of lawyers than to talk about our fear of looking bad in front of each other".BMC medical ethics · 2022Article
- Uncertainty as a critical determinant of antibiotic prescribing in patients with an asthma exacerbation: a qualitative study.The Journal of asthma : official journal of the Association for the Care of Asthma · 2022Article
- De-implementation and substitution of clinical care processes: stakeholder perspectives on the transition to primary human papillomavirus (HPV) testing for cervical cancer screening.Implementation science communications · 2021Article
- Determinants for the use and de-implementation of low-value care in health care: a scoping review.Implementation science communications · 2021Article
- Why Not? Persuading Clinicians to Reduce Overuse.Mayo Clinic proceedings. Innovations, quality & outcomes · 2020Article
- Addressing low-value pharmacological prescribing in primary prevention of CVD through a structured evidence-based and theory-informed process for the design and testing of de-implementation strategies: the DE-imFAR study.Implementation science : IS · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundA considerable proportion of interventions provided to patients lacks evidence of their effectiveness. This implies that patients may receive ineffective, unnecessary, or even harmful care. Thus, in addition to implementing evidence-based practices, there is also a need to abandon interventions that are not based on best evidence, i.e., low-value care. However, research on de-implementation is limited, and there is a lack of knowledge about how effective de-implementation processes should be carried out. The aim of this project is to explore the phenomenon of the de-implementation of low-value health care practices from the perspective of professionals and the health care system.
methodsTheories of habits and developmental learning in combination with theories of organizational alignment will be used. The project's work will be conducted in five steps. Step 1 is a scoping review of the literature, and Step 2 has an explorative design involving interviews with health care stakeholders. Step 3 has a prospective design in which workplaces and professionals are shadowed during an ongoing de-implementation. In Step 4, a conceptual framework for de-implementation will be developed based on the previous steps. In Step 5, strategies for de-implementation are identified using a co-design approach. DISCUSSION: This project contributes new knowledge to implementation science consisting of empirical data, a conceptual framework, and strategy suggestions on de-implementation of low-value care. The professionals' perspectives will be highlighted, including insights into how they make decisions, handle de-implementation in daily practice, and what consequences it has on their work. Furthermore, the health care system perspective will be considered and new knowledge on how de-implementation can be understood across health care system levels will be obtained. The theories of habits and developmental learning can also offer insights into how context triggers and reinforces certain behaviors and how factors at the individual and the organizational levels interact. The project employs a solution-oriented perspective by developing a framework for de-implementation of low-value practices and suggesting practical strategies to improve de-implementation processes at all levels of the health care system. The framework and the strategies can thereafter be evaluated for their validity and impact in future studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.